图像处理---《在图片上打印文字 windows+GDI+TrueType字体》
图像处理---《在图片上打印文字 windows+GDI+TrueType字体》
刚开始使用的是putText()函数做,缺陷是只能显示非中文; 接着,看大多数推荐Freetype库来做,尝试了,可以的,适合图像输入的是IPLImage格式,其他格式需要转换一下;现在,看到可以不使用Freetype库做的,也尝试了,好用:
上接前几篇,(3)“采用windows的GDI显示系统的TrueType字体,没有封装,就两个函数,分成了h和cpp文件,可以自己编辑文件名和函数名,亦可以直接将cpp的代码复制到你需要的程序中。”
//==================================================================== // // 文件: textTrueType.h // // 说明: OpenCV汉字输出 // //==================================================================== #ifndef PUTTEXT_H_ #define PUTTEXT_H_ #include <windows.h> #include <string> #include <opencv2/opencv.hpp> using namespace cv; void GetStringSize(HDC hDC, const char* str, int* w, int* h); void putTextZH(Mat &dst, const char* str, Point org, Scalar color, int fontSize, const char *fn = "Arial", bool italic = false, bool underline = false); #endif // PUTTEXT_H_
//==================================================================== // // 文件: textTrueType.cpp // // 说明: OpenCV汉字输出 // //==================================================================== //#include "putText.h" #include "textTrueType.h" void GetStringSize(HDC hDC, const char* str, int* w, int* h) { SIZE size; GetTextExtentPoint32A(hDC, str, strlen(str), &size); if (w != 0) *w = size.cx; if (h != 0) *h = size.cy; } void putTextZH(Mat &dst, const char* str, Point org, Scalar color, int fontSize, const char* fn, bool italic, bool underline) { CV_Assert(dst.data != 0 && (dst.channels() == 1 || dst.channels() == 3)); int x, y, r, b; if (org.x > dst.cols || org.y > dst.rows) return; x = org.x < 0 ? -org.x : 0; y = org.y < 0 ? -org.y : 0; LOGFONTA lf; lf.lfHeight = -fontSize; lf.lfWidth = 0; lf.lfEscapement = 0; lf.lfOrientation = 0; lf.lfWeight = 5; lf.lfItalic = italic; //斜体 lf.lfUnderline = underline; //下划线 lf.lfStrikeOut = 0; lf.lfCharSet = DEFAULT_CHARSET; lf.lfOutPrecision = 0; lf.lfClipPrecision = 0; lf.lfQuality = PROOF_QUALITY; lf.lfPitchAndFamily = 0; strcpy_s(lf.lfFaceName, fn); HFONT hf = CreateFontIndirectA(&lf); HDC hDC = CreateCompatibleDC(0); HFONT hOldFont = (HFONT)SelectObject(hDC, hf); int strBaseW = 0, strBaseH = 0; int singleRow = 0; char buf[1 << 12]; strcpy_s(buf, str); char *bufT[1 << 12]; // 这个用于分隔字符串后剩余的字符,可能会超出。 //处理多行 { int nnh = 0; int cw, ch; const char* ln = strtok_s(buf, "\n",bufT); while (ln != 0) { GetStringSize(hDC, ln, &cw, &ch); strBaseW = max(strBaseW, cw); strBaseH = max(strBaseH, ch); ln = strtok_s(0, "\n",bufT); nnh++; } singleRow = strBaseH; strBaseH *= nnh; } if (org.x + strBaseW < 0 || org.y + strBaseH < 0) { SelectObject(hDC, hOldFont); DeleteObject(hf); DeleteObject(hDC); return; } r = org.x + strBaseW > dst.cols ? dst.cols - org.x - 1 : strBaseW - 1; b = org.y + strBaseH > dst.rows ? dst.rows - org.y - 1 : strBaseH - 1; org.x = org.x < 0 ? 0 : org.x; org.y = org.y < 0 ? 0 : org.y; BITMAPINFO bmp = { 0 }; BITMAPINFOHEADER& bih = bmp.bmiHeader; int strDrawLineStep = strBaseW * 3 % 4 == 0 ? strBaseW * 3 : (strBaseW * 3 + 4 - ((strBaseW * 3) % 4)); bih.biSize = sizeof(BITMAPINFOHEADER); bih.biWidth = strBaseW; bih.biHeight = strBaseH; bih.biPlanes = 1; bih.biBitCount = 24; bih.biCompression = BI_RGB; bih.biSizeImage = strBaseH * strDrawLineStep; bih.biClrUsed = 0; bih.biClrImportant = 0; void* pDibData = 0; HBITMAP hBmp = CreateDIBSection(hDC, &bmp, DIB_RGB_COLORS, &pDibData, 0, 0); CV_Assert(pDibData != 0); HBITMAP hOldBmp = (HBITMAP)SelectObject(hDC, hBmp); //color.val[2], color.val[1], color.val[0] SetTextColor(hDC, RGB(255, 255, 255)); SetBkColor(hDC, 0); //SetStretchBltMode(hDC, COLORONCOLOR); strcpy_s(buf, str); const char* ln = strtok_s(buf, "\n",bufT); int outTextY = 0; while (ln != 0) { TextOutA(hDC, 0, outTextY, ln, strlen(ln)); outTextY += singleRow; ln = strtok_s(0, "\n",bufT); } uchar* dstData = (uchar*)dst.data; int dstStep = dst.step / sizeof(dstData[0]); unsigned char* pImg = (unsigned char*)dst.data + org.x * dst.channels() + org.y * dstStep; unsigned char* pStr = (unsigned char*)pDibData + x * 3; for (int tty = y; tty <= b; ++tty) { unsigned char* subImg = pImg + (tty - y) * dstStep; unsigned char* subStr = pStr + (strBaseH - tty - 1) * strDrawLineStep; for (int ttx = x; ttx <= r; ++ttx) { for (int n = 0; n < dst.channels(); ++n){ double vtxt = subStr[n] / 255.0; int cvv = vtxt * color.val[n] + (1 - vtxt) * subImg[n]; subImg[n] = cvv > 255 ? 255 : (cvv < 0 ? 0 : cvv); } subStr += 3; subImg += dst.channels(); } } SelectObject(hDC, hOldBmp); SelectObject(hDC, hOldFont); DeleteObject(hf); DeleteObject(hBmp); DeleteDC(hDC); }
//==================================================================== // // 文件: test_main.cpp // // 说明: OpenCV汉字输出,测试主函数 // //==================================================================== #include "opencv2/opencv.hpp" //#include "putText.h" #include "textTrueType.h" using namespace std; using namespace cv; /*int main() { Mat img = imread("D:\\005_test_4\\testImg\\road_6.png"); putTextZH(img, "Arial字体换...\n行显示!", Point(50, 50), Scalar(0, 0, 255), 30, "Arial"); putTextZH(img, "Times New Roman字体换...\n行显示!", Point(50, 50), Scalar(0, 0, 255), 30, "Times New Roman"); putTextZH(img, "微软雅黑字体换...\n行,斜体,下划线,显示!", Point(50, 100), Scalar(0, 255, 0), 30, "微软雅黑", true, true); putTextZH(img, "楷体字体换...\n行,斜体,下划线,显示!", Point(50, 200), Scalar(128, 255, 0), 30, "楷体", true, true); imshow("test", img); waitKey(); return 0; }*/ void main() { //Mat img(150,600,CV_8UC3,Scalar(255,255,255));//初始化图像 Mat img = imread("D:\\005_test_4\\testImg\\road_6.png"); putTextZH(img, "打印汉字,汉字,汉字!", Point(30, 30), Scalar(255, 0, 0), 45, "华文行楷"); imwrite("1.png", img); imshow("", img); waitKey(0); }
致谢:https://blog.csdn.net/wanggao_1990/article/details/52955056;https://blog.csdn.net/weixinhum/article/details/84074594;
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【作者: Carole0904 ; 出处: https://www.cnblogs.com/carle-09/ 】